With all the devices put in place everywhere, and software and data engineers jumping on board with streaming data technology, there's one thing that small thing that is not looked at, and it baffles me: data integration and business verification.
Normalization is not always fun, and even in 1989 someone by the name of Marc Rettig tried to make it more fun and easy to absorb. He must have thought, "everybody loves puppies", let's make everybody love normalization by using puppies as an example. Naturally he was right, everybody loves puppies. :-P
Abstract Models are a technical choice to save effort in managing code and modeling effort. There's an advantage in re-use of elements, but also a disadvantage in the need for more rules, potentially more code, and harder to understand. The latter seems counter intuitive, but let this article explain using a simplified example of names.
Fact Oriented Modeling represents a data modeling approach that places a stronger emphasis on business-centric considerations as opposed to more technically-oriented methodologies. This approach serves as a vital bridge connecting the realms of business and IT.
Within modern data architectures, the framework laid out by Ronald Damhof featuring four quadrants highlights the substantial role of Fact Models in one of these quarters. Its effectiveness is underscored by its successful implementation within prominent institutions, including the Dutch National Bank, the Tax Department, and most recently, the Department of Justice and Safety in the Netherlands. Fact Oriented Modeling offers unwavering support for the vertical data architecture, encompassing the full spectrum of data elements, from legal frameworks, regulations, and procedures, all the way down to the precise definitions and their practical implementations in databases.
The Amsterdam, Rotterdam and Utrecht Universities of Applied Sciences have received a SPRONG grant from Regieorgaan-SIA, with which they - together with 24 partners from the field - can build an infrastructure for a powerful research group. A group that is regionally and nationally recognised as the centre for practice-based research in the field of Responsible Applied AI.
Casetalk is part of the curriculum at several universities, high schools and in secondary education. Students learn the basics of FCO-IM using CaseTalk and often the final assignment is to make a model of an existing organization of their choice.
Ever wondered where your entities came from? Entities may exist in your source code, databases, business glossaries, and in your data models themselves?